Remove Data Validation Remove Data Workflow Remove Hadoop
article thumbnail

DataOps Tools: Key Capabilities & 5 Tools You Must Know About

Databand.ai

Poor data quality can lead to incorrect or misleading insights, which can have significant consequences for an organization. DataOps tools help ensure data quality by providing features like data profiling, data validation, and data cleansing.

article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines. Apache Oozie — An open-source workflow scheduler system to manage Apache Hadoop jobs. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively.

article thumbnail

DataOps: What Is It, Core Principles, and Tools For Implementation

phData: Data Engineering

phData Cloud Foundation is dedicated to machine learning and data analytics, with prebuilt stacks for a range of analytical tools, including AWS EMR, Airflow, AWS Redshift, AWS DMS, Snowflake, Databricks, Cloudera Hadoop, and more. This proactive approach to data validation allows you to minimize risks and get ahead of the issue.

IT 52